R Programming Language

R is a highly popular programming languages used by data science by statisticians and data miners for data analysis. Furthermore, R also facilitates the development of statistical software and is capable of handling everything from data manipulation and visualization.

Benefits of R Programming Language

It is an open-source programming language and anyone can start using it without any license or fees. In addition, it allows users to contribute towards the development of R. It is platform-independent and facilitates cross-platform programming and runs quite easily on Windows, Linux, and Mac. It is useful for numerous machine learning operations and provides various packages and features for developing the artificial neural network. Along with this, R provides great support for data wrangling and provides great packages capable of transforming messy data into a structured form. To further knows about it, you can visit the Advantages of R Language. Apart from these, given below are some significant benefits of the R programming language.

Quality plotting and graphing- Using the R programming language results in conducting quality plotting and graphing. Along with this, it provides visually appealing and aesthetic graphs which makes R superior to others.

The array of packages- R provides numerous rich packages in the CRAN repository. Along with this, R also includes various kinds of packages for data science and machine learning operations.

Statistics- It is a statistical language used by staticians and data scientists. This the reason why R is much more demand than other programming languages for the development of statistical tools.

Continuously Growing- This programming language is continuously evolving and is changing and developing over time. Furthermore, R provides continuous updates whenever any new feature is added.

Career Opportunities in R Programming Language

There is an emerging feature in the R programming language and there is an urgent need for skilled professionals in R for efficient Data Science tools. R is an ideal language for data science operations as it is capable of resolving important issues. There are many high-paying career opportunities available in the Data Science domain available for those with a good command of the R language. Many institutes provide R Programming Online Training in India and you can enroll in them to start a career in this domain. Below are some leading careers you can explore after learning R programming language.

R Programmer– These professionals are responsible for using their programming skills and creating tools. Furthermore, they have to use data structures to work on quick and efficient development.

Data Scientist– These are highly in demand professionals responsible for designing and implementing layouts for large data sets. Moreover, they need to work on data mining, research purposes, and prediction.

Data Analyst– As a data analyst you are responsible for combining the technical and analytical knowledge. These professionals require in-depth information regarding a database system and machine learning.

Data Architect– These professionals integrating and maintain their data sources. Furthermore, they need to have information about data warehousing solutions, database architecture, ETL and BI tools.

Data Visualization Analyst– As a Data Visualization analyst, you will be responsible for creating and distributing interactive dashboards. Furthermore, these have to provide a graphical report that helps the business in predictions.

Database Administrator– These professionals have to make the database available to all users. Moreover, they need to ensure that the data comes with a backup and recovery mechanism.

Conclusion

For data analysis, statisticians, data miners, and data scientists use the widely used computer language R. R can handle everything from data manipulation and visualization to facilitating the development of statistical applications. Since it is an open-source programming language, there are no costs or license requirements to begin using it. Plotting and graphing of high quality can be achieved by using the R programming language. R is better than others since it also produces aesthetically pleasing and beautiful graphs. Data scientists and statisticians utilize it as a statistical language. R is far more in demand than other programming languages for the creation of statistical tools because of this. In conclusion, this programming language is continuously evolving and is changing and developing over time.